MOLECULAR BIOTECHNOLOGY
Scope & Guideline
Exploring the Frontiers of Molecular Innovation
Introduction
Aims and Scopes
- Molecular Therapeutics:
Research on the development of therapeutic strategies using molecular biology techniques, including gene therapy, monoclonal antibodies, and vaccine development. - Biotechnology in Agriculture:
Exploration of genetic engineering, plant biotechnology, and microbial applications to enhance crop yield, resistance to diseases, and sustainable agricultural practices. - Bioinformatics and Computational Biology:
Employing computational methods to analyze biological data, including genomics, proteomics, and systems biology, to identify biomarkers and therapeutic targets. - Environmental Biotechnology:
Application of biotechnological methods for environmental remediation, waste management, and sustainable practices, including the use of microorganisms and enzymes. - Cancer Biology and Therapy:
Investigation into the molecular mechanisms of cancer and the development of targeted therapies, including the role of non-coding RNAs and signaling pathways. - Nanobiotechnology:
Research on the use of nanomaterials and nanotechnology for drug delivery, biosensors, and imaging in biological systems.
Trending and Emerging
- CRISPR and Genome Editing Technologies:
The application of CRISPR technology in gene editing and its therapeutic implications is rapidly expanding, with numerous studies exploring its potential in various diseases and agricultural applications. - Non-coding RNAs in Disease Mechanisms:
Research on the roles of long non-coding RNAs (lncRNAs) and microRNAs in cancer progression, gene regulation, and therapeutic resistance is gaining prominence, highlighting their potential as biomarkers and therapeutic targets. - Synthetic Biology:
The integration of engineering principles into biology to design and construct new biological parts, devices, and systems is emerging as a significant trend, with applications in medicine, agriculture, and environmental science. - Personalized Medicine and Biomarker Discovery:
Increasing focus on the identification of biomarkers for personalized treatment strategies, particularly in cancer and chronic diseases, is becoming a major area of investigation. - Machine Learning and AI in Biotechnology:
The use of artificial intelligence and machine learning to analyze large biological datasets is trending, facilitating advancements in drug discovery, genomics, and predictive modeling.
Declining or Waning
- Traditional Agricultural Biotechnology:
Research in conventional methods of genetic improvement and plant breeding techniques has waned as interest shifts toward CRISPR and advanced genetic engineering methods. - Basic Molecular Biology Techniques:
There is a noticeable decline in publications focusing solely on fundamental molecular biology techniques, as researchers are increasingly integrating these techniques into broader biotechnological applications. - Microbial Bioprospecting:
Although still relevant, studies focused exclusively on the discovery of new microbial species for biotechnological applications are less frequent, with more emphasis on specific applications or gene editing.
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